Training

RapidMiner offers training courses for business analytics, data mining, predictive analytics, predictive reporting, text and web mining, and related topics. The courses address a wide range of learners, from beginners to intermediate RapidMiner users.

Thank you for the great experience taking the training. It was the best training experience I ever had, both with your broad range of intelligence, comedy, and knowledge of data, statistics, and the real world.

The Courses

Our training courses are the most efficient way to get started with data analysis using RapidMiner Studio and RapidMiner Server. They are also the perfect preparation for our certification exams, which can qualify you as a certified RapidMiner Analyst, RapidMiner Expert, or RapidMiner Master.

Below you will find an overview of some of our most popular courses. Create an account to receive our newsletter and be notified when courses become available. By creating an account you can also download a trial version of RapidMiner to get yourself started!

Basic Courses

The three courses in the Basics group teach the foundations of data mining and advanced analytics and enable the participants to recognize, process and solve problems from a wide range of domains with confidence and to integrate and deploy the analyses into existing infrastructure.

While the first two classes focus on the actual data processing, from loading and transforming data to gaining insight and creating rock-solid predictions via advanced analysis techniques, the third class shows how to present the results in an easy and interactive format to non-technical users as well as providing the results to third-party software.

The Basics Pt. 1 & Pt. 2 classes are required to become a certified RapidMiner Analyst. The Integration class is your first step towards the Expert level certification.

RapidMiner Basics (Pt. 1 & Pt. 2)
This training is a four-day course, split into two parts of two days each, exploring the possibilities of performing data mining and predictive analytics with RapidMiner Studio and RapidMiner Server. Where Part 1 of the course takes a clean, simplified business example to build a strong foundation, Part 2 explores a similar business case with some of the messiness of the real world added in.

This class resembles a mentor-mentee relationship with the entire group performing as members of a data science team. After successfully completing this course, participants will have a decent understanding of how RapidMiner software works and is used. The participants will be able to prepare data and create predictive models in standard data environments typically found within most analyst positions, as well as in many more uncommon environments, and will be ready to extend their knowledge with advanced topics such as text mining, image processing, and big data.

Practical exercises during class prepare the participants to transfer the knowledge gained and apply it to their own data mining problems, solving them quickly and easily. Since the class labs are hands-on, performed on the students’ own laptops, the students will be taking their actual classwork home with them to jumpstart their application to the real world.

After the training, students will have the ability to:

  • perform all common data preparations
  • build sophisticated predictive models
  • evaluate model quality with respect to different criteria
  • deploy data mining models

The RapidMiner Basics courses are also the perfect preparation for the Analyst level certification exam.

RapidMiner Server: Web Apps and Deployment
This course is a comprehensive look at using RapidMiner Server from the perspective of two key roles: analyst and administrator. RapidMiner Server provides a platform for collaboration in a team of analysts, automation of recurring tasks, integration into existing IT infrastructure and reporting for non-technical users. Since every element of a RapidMiner Server reporting dashboard is powered by a RapidMiner process, clever designers can create interactive displays that incorporate a nearly endless array of functionality to suit their business needs.

Many practical exercises for different settings will enable the participants to transfer the knowledge gained to their own RapidMiner Server installation. The class labs are hands-on, performed on the students’ own laptops, so the students will be taking their actual classwork home with them to jumpstart the application of what they have learned in the real world.

After successfully completing this training, the participants will have the ability to:

  • utilize RapidMiner Server as a tool for collaboration
  • deploy models built with RapidMiner Studio using RapidMiner Server
  • automate and schedule processes
  • manage access rights for RapidMiner Server
  • integrate models into their business process using web services
  • design and launch web-based reports
  • create interactive dashboards
  • develop parameterized processes to interpret end-user feedback

Specialized Courses

The specialization classes offer deeper insight into different fields of data mining and advanced analytics. They enable the analyst to solve problems from selected domains with bullet-proof expertise. All specializations require the knowledge of the basic courses as a prerequisite.

Choose one or more specializations to become a certified RapidMiner Expert or Master.

Text and Web Mining
This training course is an introduction into knowledge discovery from unstructured data like text documents. It focuses on the necessary preprocessing steps and the most successful methods for automatic text classification, including: Naive Bayes, Support Vector Machines (SVM), and text clustering.

Many practical exercises for different settings will enable the participants to transfer the knowledge gained to their own text mining problems. Examples include: e-mail spam detection, automatic e-mail routing, adaptive personal news filtering, sentiment analysis of text documents like news, web pages, blogs, e-mail, or PDF documents. Since the class labs are hands-on, performed on the students’ own laptops, the students will be taking their actual classwork home with them to jumpstart their application to the real world.

After successfully completing this training, the participants will have the ability to:

  • identify techniques for processing unstructured data
  • transform textual data into a structured format
  • apply different statistical text-processing methods
  • perform text classification and text clustering
  • work on recent tasks like sentiment analysis or opinion mining

Big Data with Hadoop
Big data is worthless without analyzing, visualizing and making sense of it. This course will teach you how to leverage your huge data collection by converting your raw data into valuable information using RapidMiner Radoop. RapidMiner Radoop provides ETL, analytics and visualization in a single package and integrates seamlessly into new and existing RapidMiner processes to bring analytics into your Hadoop cluster.

The first Big Data courses will take place in 2015. Subscribe below to get schedule updates.

A super thanks for the course last week.  The information is very valuable and the layout of the course was very well planned out and executed on.  All in all, the four days were well spent and a great experience.

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